# Check that nobs.evd behaves correctly
if (requireNamespace("evd", quietly = TRUE)) {
library(evd, quietly = TRUE)
# evd::fgev
# An example from the evd::fgev documentation
set.seed(4082019)
uvdata <- evd::rgev(100, loc = 0.13, scale = 1.1, shape = 0.2)
M1 <- evd::fgev(uvdata, nsloc = (-49:50)/100)
test_that("evd::fgev, nobs.gev() vs. length(response)", {
testthat::expect_equal(nobs(M1), length(uvdata))
})
adj_M1 <- alogLik(M1)
test_that("texmex::evm, nobs.evm_Opt vs. nobs.lax", {
testthat::expect_equal(nobs(M1), nobs(adj_M1))
})
# evd::fpot
# An example from the evd::fpot documentation
set.seed(4082019)
uvdata <- evd::rgpd(100, loc = 0, scale = 1.1, shape = 0.2)
u <- 1
M2 <- evd::fpot(uvdata, u)
test_that("evd::fpot, nobs.evd() vs. sum(response > u)", {
testthat::expect_equal(nobs(M2), sum(uvdata > u), ignore_attr = TRUE)
})
adj_M2 <- alogLik(M2)
test_that("texmex::evm, nobs.evm_Opt vs. nobs.lax", {
testthat::expect_equal(nobs(M2), nobs(adj_M2))
})
# evd::fextreme
# An example from the evd::fextreme documentation
uvdata <- evd::rextreme(100, qnorm, mean = 0.56, mlen = 365)
M3 <- evd::fextreme(uvdata, list(mean = 0, sd = 1), distn = "norm",
mlen = 365)
test_that("evd::fextreme, nobs.evd() vs. length(response)", {
testthat::expect_equal(nobs(M3), length(uvdata), ignore_attr = TRUE)
})
}
# Check that nobs.evmOpt behaves correctly
# 25/2/2024: commented out to avoid ERROR in texmex
#if (requireNamespace("texmex", quietly = TRUE)) {
# library(texmex, quietly = TRUE)
# # texmex::evm, GEV
# mod <- texmex::evm(SeaLevel, texmex::portpirie, family = gev)
# test_that("texmex::evm, nobs.evmOpt vs. length(response)", {
# testthat::expect_equal(nobs(mod), length(texmex::portpirie$SeaLevel))
# })
# adj_mod <- alogLik(mod)
# test_that("texmex::evm, nobs.evmOpt vs. nobs.lax", {
# testthat::expect_equal(nobs(mod), nobs(adj_mod))
# })
#}
# Check that nobs.pot behaves correctly
if (requireNamespace("POT", quietly = TRUE)) {
library(POT, quietly = TRUE)
# An example from the POT::fitgpd documentation.
set.seed(24082019)
x <- POT::rgpd(200, 1, 2, 0.25)
u <- 1.5
mod <- POT::fitgpd(x, u, "mle")
test_that("POT::fitgpd, nobs.pot vs. sum(x > u)", {
testthat::expect_equal(nobs(mod), sum(x > u))
})
adj_mod <- alogLik(mod)
test_that("POT::fitgpd, nobs.pot vs. nobs.lax", {
testthat::expect_equal(nobs(mod), nobs(adj_mod))
})
}
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